We performed a comparison between IBM SPSS Statistics, KNIME, and Teradata Analytics [EOL] based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."
"You can quickly build models because it does the work for you."
"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"IBM SPSS Statistics depends on AI."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"What I like most about KNIME is that it's user-friendly. It's a low-code, no-code tool, so students don't need coding knowledge. You can make use of different kinds of nodes. KNIME even has a good description of each node."
"The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way."
"Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis."
"From a user-friendliness perspective, it's a great tool."
"KNIME is quite scalable, which is one of the most important features that we found."
"I've never had any problems with stability."
"We have found KNIME valuable when it comes to its visualization."
"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."
"It has been fantastic for running complete data sets (no sampling required)."
"nPath has made journey/path analysis much easier."
"Provides ease of formulating a solution based on SQL-like queries."
"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"I think the visualization and charting should be changed and made easier and more effective."
"There is a learning curve; it's not very steep, but there is one."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."
"There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."
"I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something."
"KNIME is not good at visualization."
"The data visualization part is the area most in need of improvement."
"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"I would like to see more/better documentation. They also need to enhance analytic/data science algorithms."
"We have struggled with uptime. Some of the features need to be updated."
"I have found some problems with the figures depicted on graphs and figures shown, like scores which could not be negative but which were depicted as such."
Earn 20 points
